Jacek Smolag

发表

Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography

Robert Cierniak, Piotr Pluta, Nimit Shah, 2017, ICAISC.

Fast Conjugate Gradient Algorithm for Feedforward Neural Networks

Jaroslaw Bilski, Jacek Smolag, J. Bilski, 2020, ICAISC.

Systolic Architectures for Soft Computing Algorithms

Jacek M. Zurada, Jaroslaw Bilski, Jacek Smolag, 2003, PPAM.

Parallel Realisation of the Recurrent Multi Layer Perceptron Learning

Jaroslaw Bilski, Jacek Smolag, 2012, ICAISC.

Parallel Realisation of QR Algorithm for Neural Networks Learning

Jaroslaw Bilski, Jacek Smolag, Slawomir Litwinski, 2004, ICAISC.

Parallel Realisation of the Recurrent RTRN Neural Network Learning

Jaroslaw Bilski, Jacek Smolag, 2008, ICAISC.

Predicting Success of Bank Direct Marketing by Neuro-fuzzy Systems

Magdalena Scherer, Magdalena M. Scherer, Jacek Smolag, 2016, ICAISC.

Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks

Jacek M. Zurada, Jaroslaw Bilski, Jacek Smolag, 2015, ICAISC.

Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks

Jaroslaw Bilski, Jacek Smolag, 2015, IEEE Transactions on Parallel and Distributed Systems.

A novel method for speed training acceleration of recurrent neural networks

Dacheng Tao, Leszek Rutkowski, Jaroslaw Bilski, 2021, Inf. Sci..

Parallel Realisation of the Recurrent Elman Neural Network Learning

Jaroslaw Bilski, Jacek Smolag, 2010, ICAISC.

The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks

Alexander I. Galushkin, Jaroslaw Bilski, Jacek Smolag, 2014, ICAISC.

Parallel Approach to Learning of the Recurrent Jordan Neural Network

Jaroslaw Bilski, Jacek Smolag, 2013, ICAISC.

Modification of Learning Feedforward Neural Networks with the BP Method

Patryk Najgebauer, Jaroslaw Bilski, Jacek Smolag, 2021, ICAISC.